Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

Haidong Wang, Zulfiqar Bhutta, Matthew Coates, Lalit Dandona, Khassoum Diallo, Elisabeth Franca, Maya Fraser, Nancy Fullman, Peter Gething, Simon Hay, Yohannes KINFU, et al.,

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    Abstract

    In statistical diagnostics and sensitivity analysis, the local influence method plays an important role and has certain advantages over other methods in several situations. In this paper, we use this method to study time series of count data when employing a Poisson autoregressive model. We consider case-weights, scale, data, and additive perturbation schemes to obtain their corresponding vectors and matrices of derivatives for the measures of slope and normal curvatures. Based on the curvature diagnostics, we take a stepwise local influence approach to deal with data with possible masking effects. Finally, our established results are illustrated to be effective by analyzing a stock transactions data set
    Original languageEnglish
    Pages (from-to)1725-1774
    Number of pages50
    JournalLancet
    Volume388
    Issue number10053
    DOIs
    Publication statusPublished - 2016

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    Stillbirth
    Mortality
    Weights and Measures
    Global Burden of Disease

    Cite this

    Wang, Haidong ; Bhutta, Zulfiqar ; Coates, Matthew ; Dandona, Lalit ; Diallo, Khassoum ; Franca, Elisabeth ; Fraser, Maya ; Fullman, Nancy ; Gething, Peter ; Hay, Simon ; KINFU, Yohannes ; al., et. / Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. In: Lancet. 2016 ; Vol. 388, No. 10053. pp. 1725-1774.
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    abstract = "In statistical diagnostics and sensitivity analysis, the local influence method plays an important role and has certain advantages over other methods in several situations. In this paper, we use this method to study time series of count data when employing a Poisson autoregressive model. We consider case-weights, scale, data, and additive perturbation schemes to obtain their corresponding vectors and matrices of derivatives for the measures of slope and normal curvatures. Based on the curvature diagnostics, we take a stepwise local influence approach to deal with data with possible masking effects. Finally, our established results are illustrated to be effective by analyzing a stock transactions data set",
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    Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. / Wang, Haidong; Bhutta, Zulfiqar; Coates, Matthew; Dandona, Lalit; Diallo, Khassoum; Franca, Elisabeth; Fraser, Maya; Fullman, Nancy; Gething, Peter; Hay, Simon; KINFU, Yohannes; al., et.

    In: Lancet, Vol. 388, No. 10053, 2016, p. 1725-1774.

    Research output: Contribution to journalArticle

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    AU - Coates, Matthew

    AU - Dandona, Lalit

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    AU - Fullman, Nancy

    AU - Gething, Peter

    AU - Hay, Simon

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